The proposed project will identify factors specific to patients with hospitalization for heart failure (HHF) that predict myocardial recovery. The goal is to use those factors to develop and validate a prediction tool for absolute improvement (>10%) in left ventricular ejection fraction (LVEF), and assess whether recovery affects mortality and re-hospitalization. Our hypothesis is that certain clinical, echocardiographic, laboratory, MRI, nuclear imaging characteristics, biomarkers, or a particular combination of factors (i.e. metabolic profile), predict meaningful recovery in patients with non-ischemic cardiomyopathy. A priori identification of predictors of improvement has the potential to offer prognostic stratification, appropriate therapy utilization, cost-savings and ultimately, personalized medicine for patients with HHF.
|Effective start/end date||7/1/13 → 6/30/14|
- American Heart Association Midwest Affiliate (13POST16820054)